Llm Streaming
Provides LLMs guidance and assistance for building AI and machine learning applications.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add llm-streaming npx -- -y @trustedskills/llm-streaming
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"llm-streaming": {
"command": "npx",
"args": [
"-y",
"@trustedskills/llm-streaming"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill enables streaming responses from Large Language Models (LLMs). Instead of waiting for the entire response to be generated, users receive text incrementally as it's produced. This provides a more interactive and responsive experience, especially beneficial for long-form content generation or complex reasoning tasks.
When to use it
- Generating lengthy documents: Ideal for drafting articles, reports, or code where immediate feedback is valuable.
- Interactive chatbots: Improves the perceived responsiveness of conversational AI agents.
- Real-time analysis: Allows users to see results as data is processed, such as sentiment analysis during a live event.
- Complex reasoning chains: Provides insight into the LLM's thought process as it works through intricate problems.
Key capabilities
- Incremental text output
- Real-time feedback for users
- Improved perceived responsiveness of AI agents
Example prompts
- "Write a short story about a cat, stream the response."
- "Summarize this article and show me the summary as it's generated."
- "Generate Python code to solve this problem, stream the output."
Tips & gotchas
This skill requires an LLM that supports streaming responses. Ensure your underlying model is configured for streaming before utilizing this skill.
Tags
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Security Audits
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| Snyk | Pass |
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